1. Adam Moore, Tim Brailsford, Craig Stewart University of Nottingham http://whurle.sourceforge.net Personally tailored teaching in WHURLE using conditional transclusion

2. Weaknesses of current Technology Based Learning Proprietary format / clients Weak pedagogic models Require technical expertise Static experience

3. Requirements for an idealised ILE Pedagogically informed Adaptive to learner needs Repurposing of information Open standards Usable by IT naïfs - learners and teachers

4. Web-based Hierarchical Universal Reactive Learning Environment

5. Designing for adaptability Hierarchies –Domain information naturally organized into hierarchies by humans Discrete ‘chunks’ of information –Information storage requires discretization –Passing of atomistic elements of information –Melange System awareness of users –Profiles

6. Conditional transclusion - an approach Virtual document –Users’ illusion View over system components –Content (chunks) –Environment (interface, navigation and links) Default Narrative –Lesson plan –External linkbase(s)

7. Delivering dynamic, adaptive teaching material Adaptation –Content –Presentation Building a profile: –Infer Learning styles Ability –Inform Preferences

8. DN Melange DN UP Virtual Doc. User Virtual Doc. User Virtual Doc. User UP=User Profile DN=Default Narrative =Lesson Plan + LinkBase Assemblage WHURLE System Model

9. Current status Chunk ML working draft Linkbases Transclusion - XInclude Preliminary work on adaptation and lesson plans Join us: http://whurle.sourceforge.net

10. Screenshot